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UiPath Named a Leader in Everest Group's 2026 Agentic Process Automation Platform and Full Suite APAP PEAK Matrix® Assessments
UiPath said it was named a Leader and Star Performer in Everest Group's 2026 assessments of agentic process automation platforms and full-suite platforms. The evaluations covered 29 platform providers and 15 full-suite providers, and listed UiPath as a revenue leader with a diversified portfolio and high buyer satisfaction.
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What happened
UiPath said it was named a Leader and Star Performer in Everest Group’s 2026 assessments of agentic process automation platforms and full-suite platforms. The evaluations covered 29 platform providers and 15 full-suite providers, and listed UiPath as a revenue leader with a diversified portfolio and high buyer satisfaction.
Confirmed
Global impact / market context
The recognition may help UiPath win enterprise customers by providing outside validation of its ability to coordinate AI agents, automation software, business systems, and workers. More customer adoption could increase software revenue, but the article gives no sales, contract, or financial-impact figures.
Analyst inference
The report evaluates platforms for combining traditional automation with AI agents, which are software that can act using context and judgment. UiPath’s cited strengths in cross-platform capabilities and support may matter as companies seek to connect these tools with existing systems, though no adoption results are reported.
Analyst inference
What to watch
- Watch for the full Everest Group report and its detailed scoring, since the article identifies UiPath’s strengths but does not provide the underlying assessment or comparisons. Confirmed
- Look for UiPath to explain whether the recognition supports customer wins, renewals, or broader use of its platform; those outcomes would connect the assessment to revenue. Analyst inference
- Track enterprise adoption of systems that combine AI agents and traditional automation, because wider use could raise demand for platforms coordinating workflows across business software and people. Analyst inference
Evidence
- Original source link unavailable